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Record W4405352514 · doi:10.58770/joinihp.1571454

The Impact of Lumbar Stabilization and Thoracic Mobilization Exercises on Pain, Disability and Quality of Life in Individuals with Chronic Low Back Pain

2024· article· en· W4405352514 on OpenAlexaboutno aff
Onur Atakan Doğan, Emine Atıcı, Özgür Sürenkök

Bibliographic record

VenueJournal of Innovative Healthcare Practices · 2024
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsVisual analogue scaleMedicinePhysical therapyLumbarQuality of life (healthcare)MobilizationLow back painPhysical medicine and rehabilitationSurgeryNursingAlternative medicine

Abstract

fetched live from OpenAlex

This study aimed to evaluate the efficacy of adding thoracic mobilization to lumbar stabilization exercises for managing chronic low back pain (CLBP). Fifty-four CLBP patients were randomly assigned to two groups: the Lumbar Stabilization (LS) group and the Lumbar Stabilization plus Thoracic Mobilization (LS+TM) group. Pain intensity, functional disability, and quality of life were assessed using the Visual Analog Scale (VAS), Quebec Low Back Pain Disability Scale (QLPSD), and EuroQOL-5D-3L, respectively. Both groups participated in a six-week intervention with three sessions per week. Significant improvements were observed in pain intensity, functional disability, and quality of life for both groups (p < 0.05). However, post-intervention analyses indicated that the LS+TM group experienced superior reductions in functional disability and greater enhancements in quality of life compared to the LS group (p < 0.05). While both exercise regimens were effective in managing CLBP, the addition of thoracic mobilization to lumbar stabilization exercises provided more significant benefits in functional recovery and overall well-being.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.054
GPT teacher head0.436
Teacher spread0.382 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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